Company Filing History:
4 out of 7 
2 out of 832,718 Years Active: 2020-2023
Title: Innovations of Sheng Guo
Introduction
Sheng Guo is a prominent inventor based in Shenzhen, China. He has made significant contributions to the field of technology, particularly in action recognition and multi-label image classification. With a total of 6 patents to his name, Guo's work is at the forefront of innovation in loss prevention and machine learning.
Latest Patents
One of Guo's latest patents is titled "Retail inventory shrinkage reduction via action recognition." This patent discloses technologies for action recognition that can automatically detect various types of actions in video footage. The system is designed to identify reportable actions that may lead to shrinkage, providing practical applications for loss prevention in the retail industry. The architecture of this system employs a three-branch model that integrates knowledge of the actor and the scene for enhanced action recognition.
Another notable patent is "Decoupling category-wise independence and relevance with self-attention for multi-label image classification." This invention provides methods and systems for generating a multi-label classification system using a neural network. The system identifies multiple labels for an image while considering the relationships between classes. A relevance sub-network captures the relevance information between classes, allowing for a more focused learning approach.
Career Highlights
Sheng Guo has worked with Shenzhen Malong Technologies Co., Ltd., where he has contributed to various innovative projects. His expertise in machine learning and action recognition has positioned him as a key player in the technology sector.
Collaborations
Guo has collaborated with notable individuals such as Weilin Huang and Matthew Robert Scott, further enhancing his contributions to the field.
Conclusion
Sheng Guo's innovative work in action recognition and multi-label classification demonstrates his commitment to advancing technology. His patents reflect a deep understanding of machine learning and its applications in real-world scenarios.
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